How do I install the Minutes Ingest skill?

Run npx skillmds@latest add silverstein/minutes-ingest in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Minutes Ingest safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Minutes Ingest?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Minutes Ingest free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Minutes Ingest?

silverstein (@silverstein) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Minutes Ingest by silverstein — Agent Skill

Name: Minutes Ingest
Rating: 4.666666666666667 (3 reviews)
Author: silverstein

Minutes Ingest

Extract facts from meetings and update your knowledge base — person profiles, chronological log, and index. Use when the user asks "ingest my meetings", "update my knowledge base", "extract facts from meetings", "sync meetings to wiki", "backfill knowledge", or wants their PARA/Obsidian/wiki profiles updated from conversation data.

silverstein Updated Sep 9, 2026

File contents

/minutes-ingest

Process meetings through the knowledge extraction pipeline to update person profiles, append to the knowledge log, and maintain the index.

Prerequisites

The [knowledge] section must be configured in ~/.config/minutes/config.toml:

[knowledge]
enabled = true
path = "/path/to/knowledge/base"
adapter = "wiki"  # or "para", "obsidian"
engine = "none"   # or "agent" for LLM extraction
min_confidence = "strong"

If not configured, explain what's needed and offer to help set it up.

How to run

Single meeting

minutes ingest ~/meetings/2026-04-03-strategy-call.md

All normal meetings (backfill)

minutes ingest --all

Preview without writing (recommended first time)

minutes ingest --all --dry-run

What it does

Reads each meeting's YAML frontmatter (decisions, action_items, entities, intents)
Extracts structured facts with confidence levels and source provenance
Updates person profiles in the knowledge base (adapter-dependent format)
Appends to log.md with a timestamped entry for each ingested meeting
Skips facts that already exist (deduplication) or are below the confidence threshold
Excludes meetings designated sensitivity: restricted from automated knowledge-base ingestion

Safety guarantees

engine = "none" (default): Only extracts from parsed YAML frontmatter. No LLM involved, zero hallucination risk.
Confidence thresholds: Facts below min_confidence are counted as "skipped" but never written.
Provenance: Every fact records which meeting it came from and when.
Deduplication: Facts whose text already appears in a person's profile are skipped.
Dry-run: Always suggest --dry-run first if the user hasn't used ingest before.

Interpreting the output

Ingesting 73 meeting(s) into knowledge base at /path/to/kb
  2026-04-03-strategy.md — 4 written, 1 skipped — Mat, Dan
  2026-04-05-standup.md — 2 written, 0 skipped — Alice
  SKIP 2026-03-18-test.md: no frontmatter

Done. 6 fact(s) written, 1 skipped, 1 error(s), 3 people updated.

written: facts that passed confidence threshold and didn't already exist
skipped: facts below confidence threshold (logged, not written)
SKIP: files that couldn't be parsed (no frontmatter, invalid YAML, etc.)

Gotchas

Meetings without summarization have no structured data — If a meeting was recorded before summarization was enabled, its frontmatter won't have action_items or decisions. The ingest will correctly extract 0 facts. This is expected, not an error.
engine = "agent" requires an AI CLI — If the user wants richer LLM-based extraction from transcript body text, they need claude, codex, gemini, opencode, or pi on PATH.
PARA adapter writes items.json — If the user's knowledge base uses the PARA format, facts go into areas/people/{slug}/items.json with atomic fact schema (id, status, supersededBy).
First run should be dry-run — Always suggest minutes ingest --all --dry-run before the first real run so the user can see what would be extracted.

---name: minutes-ingestdescription: Extract facts from meetings and update your knowledge base — person profiles, chronological log, and index. Use when the user asks "ingest my meetings", "update my knowledge base", "extract facts from meetings", "sync meetings to wiki", "backfill knowledge", or wants their PARA/Obsidian/wiki profiles updated from conversation data.--- # /minutes-ingest Process meetings through the knowledge extraction pipeline to update person profiles, append to the knowledge log, and maintain the index. ## Prerequisites The `[knowledge]` section must be configured in `~/.config/minutes/config.toml`: ```toml [knowledge] enabled = true path = "/path/to/knowledge/base" adapter = "wiki" # or "para", "obsidian" engine = "none" # or "agent" for LLM extraction min_confidence = "strong" ``` If not configured, explain what's needed and offer to help set it up. ## How to run ### Single meeting ```bash minutes ingest ~/meetings/2026-04-03-strategy-call.md ``` ### All normal meetings (backfill) ```bash minutes ingest --all ``` ### Preview without writing (recommended first time) ```bash minutes ingest --all --dry-run ``` ## What it does 1. **Reads** each meeting's YAML frontmatter (decisions, action_items, entities, intents) 2. **Extracts** structured facts with confidence levels and source provenance 3. **Updates** person profiles in the knowledge base (adapter-dependent format) 4. **Appends** to `log.md` with a timestamped entry for each ingested meeting 5. **Skips** facts that already exist (deduplication) or are below the confidence threshold 6. **Excludes** meetings designated `sensitivity: restricted` from automated knowledge-base ingestion ## Safety guarantees - **`engine = "none"` (default)**: Only extracts from parsed YAML frontmatter. No LLM involved, zero hallucination risk. - **Confidence thresholds**: Facts below `min_confidence` are counted as "skipped" but never written. - **Provenance**: Every fact records which meeting it came from and when. - **Deduplication**: Facts whose text already appears in a person's profile are skipped. - **Dry-run**: Always suggest `--dry-run` first if the user hasn't used ingest before. ## Interpreting the output ``` Ingesting 73 meeting(s) into knowledge base at /path/to/kb 2026-04-03-strategy.md — 4 written, 1 skipped — Mat, Dan 2026-04-05-standup.md — 2 written, 0 skipped — Alice SKIP 2026-03-18-test.md: no frontmatter Done. 6 fact(s) written, 1 skipped, 1 error(s), 3 people updated. ``` - **written**: facts that passed confidence threshold and didn't already exist - **skipped**: facts below confidence threshold (logged, not written) - **SKIP**: files that couldn't be parsed (no frontmatter, invalid YAML, etc.) ## Gotchas - **Meetings without summarization have no structured data** — If a meeting was recorded before summarization was enabled, its frontmatter won't have `action_items` or `decisions`. The ingest will correctly extract 0 facts. This is expected, not an error. - **`engine = "agent"` requires an AI CLI** — If the user wants richer LLM-based extraction from transcript body text, they need `claude`, `codex`, `gemini`, `opencode`, or `pi` on PATH. - **PARA adapter writes `items.json`** — If the user's knowledge base uses the PARA format, facts go into `areas/people/{slug}/items.json` with atomic fact schema (id, status, supersededBy). - **First run should be dry-run** — Always suggest `minutes ingest --all --dry-run` before the first real run so the user can see what would be extracted.

Frequently asked questions